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  • (-) Eawag Departments = Systems Analysis, Integrated Assessment and Modelling SIAM
  • (-) Eawag Authors = Reichert, Peter
  • (-) Journal = Environmental Modelling and Software
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Accelerating Bayesian inference in hydrological modeling with a mechanistic emulator
Machac, D., Reichert, P., Rieckermann, J., Del Giudice, D., & Albert, C. (2018). Accelerating Bayesian inference in hydrological modeling with a mechanistic emulator. Environmental Modelling and Software, 109, 66-79. https://doi.org/10.1016/j.envsoft.2018.07.016
Bayesian parameter inference for individual-based models using a Particle Markov Chain Monte Carlo method
Kattwinkel, M., & Reichert, P. (2017). Bayesian parameter inference for individual-based models using a Particle Markov Chain Monte Carlo method. Environmental Modelling and Software, 87, 110-119. https://doi.org/10.1016/j.envsoft.2016.11.001
Fast mechanism-based emulator of a slow urban hydrodynamic drainage simulator
Machac, D., Reichert, P., Rieckermann, J., & Albert, C. (2016). Fast mechanism-based emulator of a slow urban hydrodynamic drainage simulator. Environmental Modelling and Software, 78, 54-67. https://doi.org/10.1016/j.envsoft.2015.12.007
Model bias and complexity - understanding the effects of structural deficits and input errors on runoff predictions
Del Giudice, D., Reichert, P., Bareš, V., Albert, C., & Rieckermann, J. (2015). Model bias and complexity - understanding the effects of structural deficits and input errors on runoff predictions. Environmental Modelling and Software, 64, 205-214. https://doi.org/10.1016/j.envsoft.2014.11.006
The effect of ambiguous prior knowledge on Bayesian model parameter inference and prediction
Rinderknecht, S. L., Albert, C., Borsuk, M. E., Schuwirth, N., Künsch, H. R., & Reichert, P. (2014). The effect of ambiguous prior knowledge on Bayesian model parameter inference and prediction. Environmental Modelling and Software, 62, 300-315. https://doi.org/10.1016/j.envsoft.2014.08.020
Constructing, evaluating and visualizing value and utility functions for decision support
Reichert, P., Schuwirth, N., & Langhans, S. (2013). Constructing, evaluating and visualizing value and utility functions for decision support. Environmental Modelling and Software, 46, 283-291. https://doi.org/10.1016/j.envsoft.2013.01.017
Combining expert knowledge and local data for improved service life modeling of water supply networks
Scholten, L., Scheidegger, A., Reichert, P., & Maurer, M. (2013). Combining expert knowledge and local data for improved service life modeling of water supply networks. Environmental Modelling and Software, 42, 1-16. https://doi.org/10.1016/j.envsoft.2012.11.013
Calibration of computationally demanding and structurally uncertain models with an application to a lake water quality model
Dietzel, A., & Reichert, P. (2012). Calibration of computationally demanding and structurally uncertain models with an application to a lake water quality model. Environmental Modelling and Software, 38(December), 129-146. https://doi.org/10.1016/j.envsoft.2012.05.007
Bridging uncertain and ambiguous knowledge with imprecise probabilities
Rinderknecht, S. L., Borsuk, M. E., & Reichert, P. (2012). Bridging uncertain and ambiguous knowledge with imprecise probabilities. Environmental Modelling and Software, 36, 122-130. https://doi.org/10.1016/j.envsoft.2011.07.022
A generic framework for deriving process stoichiometry in environmental models
Reichert, P., & Schuwirth, N. (2010). A generic framework for deriving process stoichiometry in environmental models. Environmental Modelling and Software, 25(10), 1241-1251. https://doi.org/10.1016/j.envsoft.2010.03.002
Concepts of decision support for river rehabilitation
Reichert, P., Borsuk, M., Hostmann, M., Schweizer, S., Spörri, C., Tockner, K., & Truffer, B. (2007). Concepts of decision support for river rehabilitation. Environmental Modelling and Software, 22(2), 188-201. https://doi.org/10.1016/j.envsoft.2005.07.017